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Unlocking Performance: Harnessing LLMs To Streamline GPU Kernel Development in... - Jiannan Wang
Analyzing Kernel Performance of GPU-accelerated Applications - John Mellor-Crummey & Yuning Xia
AgentGrad: Prompt Optimization for Multi-Agent Systems | Jaewon Chu
CUDA kernel optimization . #CUDA #NVIDIA #GPU #Programming #Coding #GPUProgramming
How GPUs Run in Parallel: Build 4 Cores + a Neural Network in Verilog | Build a GPU Ep 2
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Last Updated: October 21, 2026
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Don't miss out! Join us at our next KubeCon + CloudNativeCon event in Salt Lake City, United States (Nov 9–12, 2026). Connect ... In this AI Research Roundup episode, Alex discusses the paper: 'CUDA A deep dive into KernelEvolve, the system Meta built to close a widening gap: the number of Unlocking Performance: Harnessing LLMs To Streamline Jaewon Chu joins me to discuss AgentGrad, which uses interventions to identify which Talk Introductions and Meetup Updates by Chris Fregly and Antje Barth New book on high-performance co-design of ... Talk by Mengdi Wu and Xinhao Cheng on Mirage. Mirage Persistent Nisha Nadkarni, a specialist field engineer at CoreWeave, delivered a presentation on CoreWeave inference, detailing the ... Welcome to Lecture 1 of the LLM
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